Modéliser les consommations électriques de sites B2B
My solution to the challenge Datascience.net:
Dependencies
- pandas (pip install -U pandas)
- numpy (pip install -U numpy)
- sklearn (pip install -U sklearn)
- (matplotlib)
Running and testing
To test and run the implementation, use the driver main:
./main --verbose --use_cache_data --use_cache_trainingset --test --plot --compute_reality
A file named str(time.time())+'_ML.csv' will be created in ./results/ if istest == False. Else, the training is not done on the last ten days, and a comparison with the true value is done. For testing purpose, running:
%run main
in IPython, and play around with matplotlib is the best solution.
TODO LIST
- nothing